Video-based Emotion Recognition Using Deeply-Supervised Neural Networks-Reference-Cited by-同舟云学术

Video-based Emotion Recognition Using Deeply-Supervised Neural Networks

Published:2018-10-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 20th ACM International Conference on Multimodal Interaction
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Author:

Fan Yingruo¹,Lam Jacqueline C. K.¹,Li Victor O. K.¹

Affiliation:

1. The University of Hong Kong, Hongkong, China

Funder

the Research Grants Council of Hong Kong

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3242969.3264978

Reference26 articles.

1. Sarah Adel Bargal Emad Barsoum Cristian Canton Ferrer and Cha Zhang. 2016. Emotion recognition in the wild from videos using images Proceedings of the 18th ACM International Conference on Multimodal Interaction. ACM 433--436. 10.1145/2993148.2997627 Sarah Adel Bargal Emad Barsoum Cristian Canton Ferrer and Cha Zhang. 2016. Emotion recognition in the wild from videos using images Proceedings of the 18th ACM International Conference on Multimodal Interaction. ACM 433--436. 10.1145/2993148.2997627

2. Large-Scale Machine Learning with Stochastic Gradient Descent

3. Abhinav Dhall Roland Goecke Simon Lucey Tom Gedeon etal 2012. Collecting large richly annotated facial-expression databases from movies. IEEE multimedia Vol. 19 3 (2012) 34--41. 10.1109/MMUL.2012.26 Abhinav Dhall Roland Goecke Simon Lucey Tom Gedeon et al. 2012. Collecting large richly annotated facial-expression databases from movies. IEEE multimedia Vol. 19 3 (2012) 34--41. 10.1109/MMUL.2012.26

4. EmotiW 2018

5. Paul Ekman. 2002. Facial action coding system (FACS). A human face (2002). Paul Ekman. 2002. Facial action coding system (FACS). A human face (2002).

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